Although wearable smart glass technology has advanced hugely in recent years, there remain design compromises in off-the-shelf products. In this project we will be working with the Epson Moverio BT-200 - a product which has given the public unprecedented access to mobile 3D augmented reality at an accessible price point. Developer documentation for Moverio suggests that the built-in camera was intended for decoding QR codes, and therefore did not need to be particularly high resolution. This seems reasonable. Unfortunately it means the camera has limited performance for vision-based augmented reality.

Typical indoor image from Epson Moverio BT-200 built-in camera.

In this project we will use Ogglebox algorithms to extract information from the camera in a robust and reliable way, albeit with the constrained environment of a whiteboard. Our purpose is to show that even with a very basic camera, there is a useful role for vision-based augmented reality on smart-glasses; and at the same time demonstrate some of our own unique capabilities.